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Gartner Names Silk in the 2026 Hype Cycle
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Predictable Performance for Business-Critical Applications on Google Cloud

Run enterprise applications on Google Cloud with consistent performance, efficient cost, and confidence under concurrency

Google Cloud Scale Meets Production Reality

Google Cloud provides elastic infrastructure, but performance can become unpredictable as applications, analytics, and AI share resources. Team often compensate by oversizing Compute Engines, isolating workloads, and duplicating data.

Silk decouples performance from infrastructure sizing, delivering consistent latency and throughput as demand changes. Applications, analytics, and AI can share live production data without constant tuning or overprovisioning.

What This Enables on Google Cloud

Rapid
Consistent Performance 

Maintain predictable latency and throughput as concurrency grows.

LowCost
Improve Infrastructure Utilization

Reduce overprovisioing while meeting application performance targets.

AIInference
Use Live Data for AI and Analytics 

Give teams real-time access to production data without disrupting application performance.

Cog
Simplified Operations
Reduce the isolation, duplication, and manual tuning required to maintain performance.
GC

Built for Google Cloud Architecture

Silk works within existing Google Cloud environments, including Compute Engine, persistent disk storage, VPC networking, and multi-zone architectures - without requiring application changes.